Security Context Consolidation & Investigation

Stop paying to store security data you still can’t investigate. Get one place to answer what’s exposed, who owns it, and whether it’s exploitable.

Why You Should Care

  • Data volumes and costs keep rising while investigations stay manual
  • Analysts pivot across EDR, VM, cloud, IAM, and AppSec tools
  • Ownership and business context are scattered or missing
  • Security teams wait weeks or months on data pipelines just to answer basic investigation questions

How Tuskira Solves It

Tuskira eliminates manual investigation by turning fragmented security data into a single, reasoned view of risk, replacing tool pivots and ad hoc queries with evidence-backed answers.

  • Unified context: Telemetry from 150+ security tools is normalized so assets, owners, vulnerabilities, identities, and controls can be analyzed together instead of in silos.
  • Reasoned investigation: AI links signals across tools into a validated narrative, allowing analysts to ask plain-language questions and get answers backed by real exploitability, reachability, and control effectiveness.
  • Operational speed: No custom pipelines or ongoing data engineering. Investigations that used to take hours or days resolve in minutes.

Who benefits

  • Security Engineering teams responsible for tool configuration, data quality, and investigation workflows
  • Detection Engineering teams validating whether detections map to real, exploitable activity
  • SOC Analysts who need fast, evidence-backed context without pivoting tools

Outcomes

20–40% lower SIEM and data pipeline costs

by replacing raw log hoarding with decision-ready context.

Faster security and IT alignment

because asset ownership and business context are clear.

Analysts spend time making decisions

not reconstructing context across tools

Stop reacting. Start preempting.

Book a Demo to see how AI Analysts validate threats, close attack paths, and keep you ahead of risk.

Tuskira’s Difference

Watch the video

Learn how Tuskira transforms noisy SOCs into autonomous, AI-driven defense systems that validate, simulate, and preempt threats.